CASE STUDY

INSURANCE

  1. Sriya-AI algorithms can predict auto-insurance claim status, improving resource management and customer service in the insurance industry.
  2. The dataset has 9134 records with 8 Categorical Features and 16 Numerical Features, with 85.7% of claims rejected.
  3. Sriya-AI techniques like Decision Tree, RNN, MLP, Random Forest and XGBoost were used for classification.
  4. Models were created for feature sets of 6, 11, 17 and 20, with average accuracy between 95% – 98%.